Evidence map›Paper›PMID 41168396›Full record

ArticleScientific reports2025

Epidemiology, drug resistance, and molecular features of Klebsiella pneumoniae in Southwest Shandong, China.

Liang Han, Chengfan Yang, Jian Shi, Lei Du, Jianming Sun, Weixia Li, Shuhua Lu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Risk factors for invasiveFrontiers in cellular and infection microbiology · 2026
    Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Liang Han *Clinical Laboratory, Affiliated Hospital of Jining Medical University, No. 89, Guhuai Road, Jining, 272000, China.
Chengfan Yang *Clinical Laboratory, Affiliated Hospital of Jining Medical University, No. 89, Guhuai Road, Jining, 272000, China.
Jian ShiClinical Laboratory, Affiliated Hospital of Jining Medical University, No. 89, Guhuai Road, Jining, 272000, China.
Lei DuShandong Public Health Clinical Center, Jinan, China.
Jianming SunZoucheng People's Hospital, Mengzi Lake Campus, Jining, China.
Weixia LiClinical Laboratory, Affiliated Hospital of Jining Medical University, No. 89, Guhuai Road, Jining, 272000, China.
Shuhua LuClinical Laboratory, Affiliated Hospital of Jining Medical University, No. 89, Guhuai Road, Jining, 272000, China. lushuhua010515@126.com.

Funding

Key Research and Development Program of Jining, Shandong, China 2024YXNS038Medical and Health Science and Technology Development Plan Project of Shandong, China 202211000699Nursery Project of Affiliated Hospital of Jining Medical University, Shandong,China MP-MS-2022-06
6 · The paper itself

Abstract

This study aims to delineate the antimicrobial resistance profiles and virulence gene carriage of Klebsiella pneumoniae (KP) in Southwest Shandong region of China, investigate the differences in clinical infection characteristics between classical Klebsiella pneumoniae (cKP) and hypermucoviscous Klebsiella pneumoniae (hmKP), and explore the correlation between hmKP and hypervirulent Klebsiella pneumoniae (hvKP). This study collected Klebsiella pneumoniae-infected strains and clinical case data from the Affiliated Hospital of Jining Medical University in Shandong Province, performed isolation, culture, identification, antimicrobial susceptibility testing, serological typing, and virulence gene detection to analyze etiological characteristics, conducted a retrospective analysis of the epidemiological characteristics of infection cases, and analyzed their clinical features. No significant differences were observed between hvKP and cKP groups in age, gender, presence of underlying diseases, or infection categories. However, significant differences were identified in the types of underlying diseases and invasive procedures (P < 0.05). The hvKP group exhibited significantly lower resistance rates to 10 antibiotics (e.g., GEN, CSL) compared to the cKP group, while no differences were observed in resistance to 8 antimicrobial agents (e.g., AMK, IPM) (P < 0.05). In the hvKP group, the detection rates of K1 and K2 serotypes reached 25.00% (15/60) and 36.67% (22/60) respectively, significantly higher than those in the cKP group (12.00% [30/250] and 9.20% [23/250]) (P < 0.05). Additionally, the virulence gene carriage rate in the hvKP group (90.00%) was markedly higher than that in the cKP group (12.80%) (P < 0.05). In this region, KP infections predominantly affect elderly male patients. Patients comorbid with diabetes, hepatobiliary diseases, or those undergoing invasive procedures constitute a high-risk population for hmKP infections. The hmKP strains exhibited significantly lower resistance rates to most antimicrobial agents compared to cKP. hmKP isolates were predominantly of the K1 and K2 serotypes, with the hmKP group demonstrating widespread carriage of multiple virulence genes. An epidemiological correlation was observed between hmKP and hvKP. Clinically, the hypermucoviscosity phenotype may serve as a preliminary indicator for assessing bacterial virulence.

Indexed as

Drug Resistance, BacterialKlebsiella InfectionsKlebsiella pneumoniaeAdultAgedAnti-Bacterial AgentsChinaDrug Resistance, Multiple, BacterialFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedRetrospective StudiesVirulenceVirulence FactorsAnti-Bacterial AgentsVirulence FactorsAntimicrobial resistance analysisClinical characteristics analysisHypermucoviscous Klebsiella pneumoniaeSerotype testingVirulence genetic testing

Identifiers

PMID41168396
PMCPMC12575833

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.